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Agent skill

Review PR

by AMD-AGI in AMD-AGI/Hyperloom

Review a Hyperloom pull request. An agent skill from AMD-AGI/Hyperloom.

Custom licenceAuto-check passedDevelopment

Install Review PR

skills CLI
$ npx skills add AMD-AGI/Hyperloom --skill review-pr -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AMD-AGI/Hyperloom review-pr --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AMD-AGI/Hyperloom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/review-pr .claude/skills/review-pr && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review-pr
GitHub stars
218
Token cost
~4.8k tokens
SKILL.md length
2,838 words
Files
4 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

Review a Hyperloom pull request. An agent skill from AMD-AGI/Hyperloom.

  • Works in 9 steps: Scope → Fetch → Semantic understanding → …
  • Tasks that involve Pull requests
  • SKILL.md covers Output contract, Links out, not restatement, Step 0 — Scope and Step 1 — Fetch, plus 11 more sections
  • Runs Shell scripts from its folder; calls gh and bash

What it does

Review PR is an agent skill from AMD-AGI/Hyperloom. Review a Hyperloom pull request. Invoke with a PR number whenever asked to review, re-review, or sanity-check a PR in this repository. Collects the PR into a scratch directory, selects from rules.md only the rules this diff can trigger, forces a semantic and core-file risk assessment before any finding is written, refutes every finding twice, and publishes an English conclusion to the PR. The output has two parts only: what the PR does, and blocking issues.

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `fetch.sh`, `references/tiers.md` and `rules.md`).

It sits in Development, covering Pull requests. The repository describes itself as: An agentic system that auto-optimizes LLM workloads on AMD GPUs.

When your agent uses it

  • Tasks that involve Pull requests

Example prompts

  • “/review-pr”

Requirements

  • A Bash shell

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Scope
  2. Fetch
  3. Semantic understanding
  4. Core-file risk
  5. Rule checklist
  6. AI-code diagnostic
  7. Free-form pass, then the build-it-again and blind-spot lines
  8. Refutation
  9. Verdict

What it can do on your machine

Read from SKILL.md and the folder at commit 1b833cd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • gh
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review PR loads about 4.8k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 2,838 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,838 words (~4,818 tokens).

“Written for an agent to execute top to bottom. Every step writes an artifact into $WORK; a step that leaves nothing behind is one a review can skip without the skip being visible. $WORK defaults to /tmp/hl-review- and is printed…”

— opening of SKILL.md by AMD-AGI, Custom licence
name
review-pr

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in .claude/skills/review-pr of AMD-AGI/Hyperloom.

  • SKILL.md
  • fetch.sh
  • references/tiers.md
  • rules.md

Open the folder on GitHubat commit 1b833cd

Compare with similar skills

Review PR next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review PR compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review PR this skillAMD-AGI/Hyperloom218—~4.8kAutomated safety check: PassCustom licence
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence

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Categories

Questions about Review PR

What does Review PR do?

Review a Hyperloom pull request. An agent skill from AMD-AGI/Hyperloom. Review PR is an agent skill from AMD-AGI/Hyperloom. Review a Hyperloom pull request.

When should I use Review PR?

Review PR fits situations like: tasks that involve Pull requests.

How do I install Review PR in Claude Code?

Run `npx skills add AMD-AGI/Hyperloom --skill review-pr -a claude-code`. Or copy the skill folder (.claude/skills/review-pr in AMD-AGI/Hyperloom) into .claude/skills/review-pr in your project. Claude Code loads it when a task matches its description.

How do I install Review PR in Codex?

Run `npx skills add AMD-AGI/Hyperloom --skill review-pr -a codex`. Or copy the skill folder (.claude/skills/review-pr in AMD-AGI/Hyperloom) into .agents/skills/review-pr in your project. Codex loads it when a task matches its description.

Can I use Review PR in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AMD-AGI/Hyperloom --skill review-pr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-pr, .gemini/skills/review-pr, .github/skills/review-pr and .opencode/skills/review-pr in your project.

What does Review PR need to run?

Going by SKILL.md and its folder, Review PR needs a shell for the scripts in its folder and the command-line tools its instructions call (gh and bash). Our summary lists: A Bash shell.

Does Review PR access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Review PR safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review PR use?

Review PR has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Review PR use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Review PR?

Skills that share tags, products or a category with Review PR: Finishing a Development Branch (obra/superpowers, 297k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and PR Design Doc (OpenHands/OpenHands, 90k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review PR?

AMD-AGI (a GitHub organization) maintains it in AMD-AGI/Hyperloom, which has 218 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 9, 2026.

Source: AMD-AGI/Hyperloom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.